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Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...
It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .
Introduction to programming in Python. Introduction to the theory of algorithms: running time and correctness of an algorithm. Recursion. Data structures: arrays, linked lists, stacks, queues, binary ...
COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS 336 or Permission of Instructor ... This course examines ...